DocumentCode
444892
Title
Direct extrapolation of a causal signal using low-frequency and early-time data based on matrix equations
Author
Yuan, M. ; van den Berg, P.M. ; Sarkar, T.K.
Author_Institution
Syracuse Univ., NY, USA
Volume
2A
fYear
2005
fDate
3-8 July 2005
Firstpage
615
Abstract
We provide direct methods to extrapolate the early-time and the low-frequency response of a causal signal simultaneously in the time and frequency domains. We show that, in the discrete domain, the extrapolation from integral equations introduced by P.M. van den Berg et al. (see APS-URSI, 2005) is equivalent to linear matrix equations. We demonstrate the feasibility of the using the conjugate gradient method and fast Fourier transform (CGM-FFT) in the discrete version. Furthermore, we provide a more efficient method, the singular value decomposition (SVD). Finally, a numerical example of an electrically large structure is presented and a comparison between the present and the previous methods is demonstrated.
Keywords
conjugate gradient methods; extrapolation; fast Fourier transforms; signal processing; singular value decomposition; time-frequency analysis; FFT; SVD; causal signal; conjugate gradient method; direct extrapolation; discrete domain; early-time data; electrically large structure; electromagnetic responses; fast Fourier transform; integral equations; linear matrix equations; low-frequency data; singular value decomposition; Discrete Fourier transforms; Extrapolation; Fast Fourier transforms; Frequency domain analysis; Gradient methods; Integral equations; Iterative methods; Least squares methods; Matrix decomposition; Singular value decomposition;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium, 2005 IEEE
Conference_Location
Washington, DC
Print_ISBN
0-7803-8883-6
Type
conf
DOI
10.1109/APS.2005.1551886
Filename
1551886
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